Smart Deep Learning Model to Recognize PCM Optimization Performance on Solar Cooling System

Abstract

Phase Change Materials (PCMs) offer a significant advantage by reducing the need for multiple cooling systems, potentially revolutionizing thermal comfort in buildings and optimizing thermal energy storage. The intriguing prospect of integrating PCMs into active heating and cooling systems has garnered considerable attention. Furthermore, the compatibility of PCMs with photovoltaic (PV) systems and various renewable energy sources enhances the system’s efficiency. This study explores the promising application of PCMs in solar-powered cooling systems, demonstrating their capacity to improve thermal comfort and energy efficiency. The choice of PCMs with specific phase change temperatures and heat of fusion is pivotal for optimal system performance. The integration of PV systems with thermoelectric coolers and other renewable energy sources further enhances the overall sustainability and energy utilization in buildings and cooling systems. These findings underscore the potential of PCM-based technology in addressing thermal energy storage challenges and advancing the sustainability of cooling systems and building environments.

Keywords:

• PCM optimization
• photovoltaic systems
• renewable energy

ACKNOWLEDGEMENT

The authors appreciate the supports from Vivekananda College of Engineering and Technology, Karnataka for the research and preparation of the manuscript.

ETHICAL APPROVAL

No participation of humans takes place in this implementation process

DISCLOSURE STATEMENT

No potential conflict of interest was reported by the author(s).

DATA AVAILABILITY STATEMENT

Data sharing not applicable to this article as no datasets were generated or analyzed during the current study

Correction Statement

This article has been corrected with minor changes. These changes do not impact the academic content of the article.

Additional information

Funding

The authors are grateful to the Researchers Supporting Project number [RSPD2023R669], King Saud University, Riyadh, Saudi Arabia, for the financial support.

Notes on contributors

K. Mahesh Prasanna

Mahesh Prasanna K completed his schooling from Sri Sathya Sai Institute, Alike & earned his Bachelor degree in Electronics and Communication Engineering in 1998 from Mangalore University. He did his MTech in Computer Science & Engineering in 2011 from Visvesvaraya Technological University, Belagavi. He is also Microsoft Certified Solution Developer. He completed his PhD from Visvesvaraya Technological University, Belagavi. He has worked in the field of Image Processing, Artificial Neural Networks and Control Systems for his PhD. Most of his work experience is in academics (more than 18 Years), except for about 6 years of industrial experience. He has been a resource person at several seminars and conferences. He has more than 25 national/ international journal and conference papers to his credit. His research interests include Artificial Intelligence and Control Systems.

Sheeja V. Francis

Sheeja V Francis has a rich teaching experience of more than 25 years at undergraduate and post graduate levels of engineering education and heads the Department of ECE at Jerusalem College of Engineering (Autonomous), Chennai. She also spearheads augmented learning and up-skilling activities in the campus, empowering the student community to succeed in this ever evolving technical world. She acquired B.E. Degree in Electronics and Communication Engineering in 1995. She has pursued research at the Centre for Medical Electronics, Anna University, Chennai, where she acquired her M.S and Ph.D degrees. She has explored the possibilities of using non-ionising radiations in diagnostics instead of the bio-hazardous X-rays with the help of Signal and Image processing tools. She has presented her works at several National and International Seminars & Conferences and published several research papers in reputed International Journals. She is an invited reviewer with several reputed International Journals and has received Award for Outstanding Contribution to Review from Elsevier Journals, The Netherlands in 2015. She has authored chapters and served as co-editor for technical books of reputed publishers. Her area of specialization is Signal and Image Processing.

Varuna Kumara

Varuna Kumara is an author and researcher in the field of Artificial intelligence and Machine Learning. He earned his B.E. degree in Electronics and Communication in 2009 from Moodlakatte Institute of Technology Kundapura and completed his M.Tech degree in 2012 from Srinivas Institute of Technology, Valachil in Mangalore. Currently a Research Scholar at JAIN (Deemed to be University) in Bengaluru, India. He is currently working as Assistant Professor in the Department of Electronics and Communication Engineering, in Moodlakatte Institute of Technology, Kundapura, Karnataka, India. His areas of interest lie in the field of soft computing, Image processing, and AI&ML.

A. Sagai Francis Britto

A. Sagai Francis Britto is a highly accomplished professional in the field of mechanical engineering with an exemplary academic and research background. He received the B.E. degree in Mechanical Engineering with distinction and M.E. degree with Gold medal under Anna university. He is the recipient of the prestigious Inspire Fellow award from the Department of Science and Technology, Government of India. He completed his PhD degree from Anna University Chennai, India in the year 2019. Currently serving as an Associate Professor at Rohini College of Engineering and Technology, Palkulam, Tamil Nadu, India. He possesses thirteen years of teaching experience, nurturing the next generation of engineers. His field of interest includes joining of materials using modern technology, Material Science, Composites, Computational Techniques and Optimization.

G. Nageswara Rao

G. Nageswara Rao as born in Guntur, A.P, India. He received the AMIE (Electrical Engineering) degree from the Institute of Engineers (India) and the M.Tech degree from Nagarguna University, Nambur, AP, India., and received his Ph.D from J.N.T. University Kakinada. Working as Professor, Electrical and Electronics Engineering Department in Lakireddy Bali Reddy College of Engineering, Mylavaram, Vijayawada. He has 19 Years Teaching Experience at UG & PG Level. He Published 26 Papers in International Journals, Attended and Presented 8 Papers in International Conferences, 4 Papers in National Conferences. He has attended 32 Faculty Development Programmes, 12 Workshop, 72 Webinar. Acted as resource person for 3 FDPs. Published More Than 4 Book Chapters, 6 Patents Published, 8 Project Proposals submitted worth of Rs. 2 cores. His main areas of specializations are Electrical Power Systems, Al Techniques and Multilevel Converter.

Tabassum Ara

Tabassum Ara has done her Graduation, Masters and doctorate in Computer Science and Engineering. She is presently a professor and Head for the Department of AIML at HKBK College of Engineering, Bangalore, Karnataka, India. Her research interest focuses on network Security, Artificial Intelligence and Machine Learning and Cyber Security.

P. Ganeshan

P. Ganeshan is working as Professor in the Department of Mechanical Engineering in Sri Eshwar College of Engineering, Coimbatore, Tamilnadu, India since December 2021. He had completed Bachelor of Engineering in Mechanical Engineering in 2006 and Post Graduate in Engineering Design in 2013 from Anna University, Chennai, Tamil Nadu India. He obtained his Doctorate in Mechanical Engineering, Anna University Chennai in 2017 and has more than 15 years of experience in research, teaching and industry. He has published 85 research article in peer reviewed Journals and participated over 10 National and international conferences. Currently he is guiding 08 PhD research scholars in Anna University, Chennai. His area of research is the use of the composite materials for Bio-medical applications. His subjects of interest include Engineering Mechanics, Fluid Mechanics, Strength of Materials, Theory of Machines and Design of Machine Elements and Transmission systems.

Ahmad A. Ifseisi

Ahmad A. Ifseisi received his B.Sc. degree at the top third and his M.Sc. degree at the top of his classes in 2005 and 2008, respectively, from Hashemite University, Jordan, and received his Ph.D. degree at the top of his class in 2012 from King Saud University, Saudi Arabia. Currently, he is an Assistant Professor of Analytical Chemistry at Department of Chemistry, and Researcher at Advanced Materials Research Chair, King Saud University, Saudi Arabia. He has worked as a researcher at King Abdullah Institute for Nanotechnology (Oct. 2008 – Jan. 2013), researcher assistance at Hashemite University (Mar. 2008 – Aug. 2008), and teaching assistant at Hashemite University (Oct. 2005 – Oct. 2007). He is working on a variety of separation and chromatographic topics ranging from preparation and development of packing materials for chromatographic columns to extraction and preconcentration of various organic and inorganic samples. Ahmed has published more than 80 scientific contributions; 41 original papers, 2 reviews, 3 patents, 3 book chapters, and 42 presentations in local and international conference proceedings. He received the King Saud University Award for scientific excellence, 2014, Almarai company prize for the Best Research Unit, Advanced Materials Research Chair (Team Award), 2014, fellowship for POC2012 IUPAC conference, Qatar Petroleum Company QAPCO, 2012, the vice-rectorate for graduate studies and research prize for the excellence scientific research in the King Saud University, 2011, the distinct and creator students, Hashemite University, 2008, a fully-funded Ph.D. scholarship, King Abdullah Institute for Nanotechnology, King Saud University, and a fully-funded M.Sc. scholarship, Hashemite University.

Sikandar Aftab

Sikandar Aftab earned his Ph.D. in Physics from Department of Physics and Graphene Research Institute, Sejong University, South Korea. He also completed a two-year post-doctoral fellowship at Simon Fraser University in Burnaby, Canada. Dr. Aftab is currently employed as an Assistant Professor at Sejong University's Department of Intelligent Mechatronics Engineering in Seoul, South Korea. His research interests include nanodevices based on two-dimensional materials heterostructures, energy storage devices and solar cells.